AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 436 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.True or false: “the learned patterns” is the model. (a) True (b) False
2. 2.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
3. 3.True or false: “the learned patterns” is training data. (a) True (b) False
4. 4.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) old emails marked spam
5. 5.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the trained program (d) tomorrow’s rain guess
6. 6.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
10. 10.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) flagging a new email (d) old emails marked spam
13. 13.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
14. 14.True or false: “old emails marked spam” is the model. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
16. 16.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) recorded spoken words (d) what training builds
17. 17.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
20. 20.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) old emails marked spam (d) the trained program
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
22. 22.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) tomorrow’s rain guess
23. 23.True or false: “past weather records” is a prediction. (a) False (b) True
24. 24.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) old emails marked spam
25. 25.True or false: “what training builds” is a prediction. (a) True (b) False
26. 26.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) what training builds (d) past weather records
27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
28. 28.True or false: “old emails marked spam” is training data. (a) False (b) True
29. 29.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
30. 30.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
33. 33.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
34. 34.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) naming a new leaf (d) typing a new spoken word
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
36. 36.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
38. 38.True or false: “naming a new leaf” is training data. (a) True (b) False
39. 39.True or false: “flagging a new email” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns

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